Chevron Left
Retour à Analyze Datasets and Train ML Models using AutoML

Avis et commentaires pour d'étudiants pour Analyze Datasets and Train ML Models using AutoML par

271 évaluations

À propos du cours

In the first course of the Practical Data Science Specialization, you will learn foundational concepts for exploratory data analysis (EDA), automated machine learning (AutoML), and text classification algorithms. With Amazon SageMaker Clarify and Amazon SageMaker Data Wrangler, you will analyze a dataset for statistical bias, transform the dataset into machine-readable features, and select the most important features to train a multi-class text classifier. You will then perform automated machine learning (AutoML) to automatically train, tune, and deploy the best text-classification algorithm for the given dataset using Amazon SageMaker Autopilot. Next, you will work with Amazon SageMaker BlazingText, a highly optimized and scalable implementation of the popular FastText algorithm, to train a text classifier with very little code. Practical data science is geared towards handling massive datasets that do not fit in your local hardware and could originate from multiple sources. One of the biggest benefits of developing and running data science projects in the cloud is the agility and elasticity that the cloud offers to scale up and out at a minimum cost. The Practical Data Science Specialization helps you develop the practical skills to effectively deploy your data science projects and overcome challenges at each step of the ML workflow using Amazon SageMaker. This Specialization is designed for data-focused developers, scientists, and analysts familiar with the Python and SQL programming languages and want to learn how to build, train, and deploy scalable, end-to-end ML pipelines - both automated and human-in-the-loop - in the AWS cloud....

Meilleurs avis


8 nov. 2021

Seriously I never expected to learn so many new methods, I am fascinated with the resources and the teaching techniques. Delivering information and great programmatic explanation.


7 juil. 2021

Excellent introductory course for Aws sagemaker. Justifies the specialization title as it is indeed practical oriented. Labs are of good quality as well.

Filtrer par :

26 - 50 sur 72 Avis pour Analyze Datasets and Train ML Models using AutoML

par Sam B C

19 janv. 2022

I cannot proceed with the lab. It says I have reached the total lab usage time

par Akshay B

24 juin 2022

T​he instructions were clear, provides a concise and to the point discussion concerning the topics being taught.

T​he coursework is well thought out, however, I would suggest possible improvements with two issues:

1​. The captions with the video are often unreliable/inaccurate which becomes a problem since the accent of one of the instructors was a little hard to understand and requires several rewatches to understand.

2​. The estimated times for the programme do not account for note making which increases the time by a lot since the videos discuss several topics in quick succession and the videos need to be paused to write notes often increasing the time several fold compared to what is suggested.

par Tenzin T

22 août 2021

Great! Highly recommended for emerging data scientist who are looking to gain practical knowledge on AWS.

par Yin Q

1 juil. 2021

The course is well organized and the lab is easy to follow. Thanks for making this course available!

par Dylan B

9 mai 2022

Excellent instruction, made automating complicated machine learning problems seem easy!

par Juan M

16 févr. 2022

Easy step-by-step guide for beginners. Practical and theoretical usefull references.

par Pitabas M

25 juil. 2021

Gives a very good and quick introduction to the different features available in AWS.

par Zuzana N

11 avr. 2022

Very clear explanations. The course is not very difficult, it went really smoothly.

par Endris M A

18 mars 2022

Excellent, Thank you Coursera for giving me this wornderfull opportunity.

par Shankar K V

20 nov. 2021

Amazing course to learn about various data science concepts and AWS tools

par Serjesh S

13 févr. 2022

Great way to understand the various component of Sagemaker echosystem

par Pratik K

12 oct. 2021

G​ood overview of general Data Science concepts and AWS Sagemaker.

par Marry C C

9 sept. 2021

Great courser to learn advance machine learning pipelines in AWS!

par karthik v

24 sept. 2021

This course really helped me understand about AWS services

par Janzaib M

17 avr. 2022

Very Hands On Practical Information for the Industry

par Hamza A

17 mars 2022

great course ! thank you to all the instructors

par Alcebiades A B F

7 août 2021

Good contents if you study de jupyter notebooks

par Flavio F

8 oct. 2021

A​mazing. Best course regarding aws sagemaker.

par Brenno M N S

6 avr. 2022

I learnt a lot with this incredible course.

par Viplove J G

13 oct. 2021

It is a good course but i want to unenroll!

par Stephen K

1 avr. 2022

Excellent presentations with good content!

par Santiago B

11 févr. 2022

Es una buena introduccion al mundo de ML

par Himasha J

5 nov. 2021

great content , learn new aws services

par Gourav R

4 août 2021

great course ,real practical knowledge

par Jonathan P

29 juin 2022

I​ found this course very helpful.